摘要
综合运用分层聚类、逐步判别分析方法的计算原理,依据岱庄煤矿出水点及含水层水样的水质分析资料,建立多元统计分析模型,进行水质相似度分析和主要出水水源判别。研究表明分层聚类方法能够定量、直观地反映各水源之间水质的亲疏关系;逐步判别分析法可以有效地判别突水点的类型归属,二者互为补充和验证。
The comprehensive utilization of the calculation principal ofhierarchical clustering and stepwise discrimination, the multivariate statistical analysis model was set up to analyze the similarity of water quality and discriminate the source of water inrush according to the position of water inrush and the information of water quality in the aquifer in Daizhuang Coal Mine. The research showed that the hierarchical clustering method can quantitatively and visually reflect the close or distant relationship of water quality from different sources, and the stepwise discrimination analysis can effectively discriminate the type of water inrush positioru Therefore, they are in complementary and verifiable relationship for each other.
出处
《中国煤炭》
北大核心
2013年第2期101-104,共4页
China Coal
基金
"十二五"期间江苏省一级学科重点学科建设项目资助(苏孝研〔2011〕14号)
关键词
多元统计
分层聚类
逐步判别
出水水源
岱庄煤矿
multivariate statistical analysis
hierarchical clustering
stepwise discrimination
source of water inrush
Daizhuang Coal Mine
